DocumentCode
584413
Title
Research on the Repeater Distribution Based on Monte Carlo Method in Wireless Senor Networks
Author
Ban-teng, Liu ; Tiao-juan, Ren ; Zhang-quan, Wang ; Li-zhe, Yu ; You-rong, Chen
Author_Institution
Coll. of Inf. Eng., Zhejiang Shuren Univ., Hangzhou, China
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
1103
Lastpage
1105
Abstract
This article builds two models to analysis the two cases of 1,000 and 10,000 simultaneous users. At first, this paper presents two models of repeater distribution in two cases of 1,000 and 10,000 simultaneous users the minimum numbers of repeaters are 9 and 83 under our assumptions. The repeater distribution problem is transformed to minimum cover problem and Monte Carlo method is employed. Solution of situation with mountain area is discussed. In first model for the case of 1,000 simultaneous users, we apply the theory of "circles covering circles". Unfortunately, we can prove that there are repeaters whose loads are beyond their capacity if we use the theory directly. Instead of trying to find more circles to cover the area, we modify the theory to fit our requirement. In second model for the case of 10,000 simultaneous users, we noticed the fact that hexagon is considered to be the optimal graphic which uses the least nodes to cover the maximum area. In this case, we model the repeater cover regions by several regular hexagons. The key point in this case is to calculate the area of intersection. Recognized the complexity of direct calculation, we follow the idea of the Monte Carlo method.
Keywords
Monte Carlo methods; repeaters; wireless sensor networks; Monte Carlo method; circles covering circles; repeater distribution; wireless senor networks; Load modeling; Mathematical model; Mobile communication; Monte Carlo methods; Receivers; Repeaters; Wireless communication; distribution; monte carlo; wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0721-5
Type
conf
DOI
10.1109/CSSS.2012.279
Filename
6394517
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